Description

After Convergence AI’s successful acquisition, the team are now integrated into Agentforce, Saleforces agentic platform for business. We are building an research hub in London who’s sole focus is to build the future of agentic enterprise work.

The Role

We are seeking an exceptional Principal Engineer specializing in Agentic Systems to join our brand new dynamic team. As a senior technical leader in our engineering organisation, you will drive the strategic direction for autonomous agent systems at enterprise scale. You will lead moonshot agent projects that will fundamentally transform the future of work, while ensuring these systems meet the rigorous demands of enterprise deployment including scale, security, and compliance.

Our mission will be to build sophisticated agents capable of navigating complex software environments, orchestrating multi-agent workflows, and making intelligent decisions to solve real-world problems autonomously—all while maintaining enterprise-grade reliability and security.

Responsibilities

• Define and lead the technical strategy for production-scale intelligent agents capable of sophisticated navigation across diverse software platforms (e.g., Web UIs, Internal Sandboxes, Development Environments) while maintaining enterprise security boundaries

• Own the Security Strategy for autonomous agents

• Architect and implement distributed multi-agent orchestration systems at scale in enterprise production environments

• Establish comprehensive security frameworks for agent operations including sandboxing, permission models, audit trails, and compliance with enterprise standards

• Contribute as a technical leader to the scalable system architecture that supports complex agent interactions, real-time decision-making, and high-throughput backend services. In addition, build robust monitoring, observability, and governance systems for agent behavior

• Lead cutting-edge R&D in agentic systems, exploring novel approaches to agent trust models, explainability, and human-in-the-loop architectures at scale

• Mentor multiple engineering teams and collaborate with cross functional enterprise architects of the organization to align agent capabilities with business objectives

Required Qualifications

• Principal-Level software engineering experience with a heavy focus on backend systems and cloud infra at scale.

• Proven track record of building and scaling agent orchestration frameworks in production environments.

• Strong software engineering fundamentals and advanced proficiency in Python or another OO language

• Expertise in designing, implementing, and maintaining Security, Authentication and Authorization frameworks, Credential Management, and Secrets Distribution Systems.

• Knowledge of technologies such as Model Control Protocol (MCP), A2A, Browser Agents, Sandbox Agents, and Computer Use Agents with their enterprise deployment considerations

• Strong background in cloud-native architectures (AWS/GCP/Azure) and modern infrastructure patterns at scale

• Demonstrated ability to architect and solve ambiguous, large-scale services, databases, security and infrastructure problems and mentor other engineers.

• Experience with building agents and agent orchestration frameworks (e.g., LangChain, custom frameworks) is beneficial.

Preferred Qualifications

• Familiarity with the Salesforce platform and Agentforce ecosystem.